<p>Breast cancer and ovarian cancer molecular subtypes were clustered with the 1300 gene sets with absolute value (<i>SAPS<sub>score</sub></i>)≥1.3 and <i>SAPS<sub>q-value</sub></i>≤0.05 in at least one disease subtype. Hierarchical clustering was performed on the <i>SAPS<sub>Score</sub></i>. In the heatmap, green indicates the gene set is associated with improved prognosis and red with poorer prognosis.</p
<p>The patients were grouped according to the menstrual cycle phase (proliferative and secretory), n...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Six distinct clusters were identified and their respective genes further analyzed.</p
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>The diseases and functions associated with gene clusters A-D are shown together with the p-value ...
Abstract Background Two-way hierarchical clustering, with results visualized as heatmaps, has served...
Abstract Background Two-way hierarchical clustering, with results visualized as heatmaps, has served...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
<p>(A) Hierarchical clustering of primary tumors reveals three distinct classes (B) Kaplan–Meier met...
SINCE the advent of array-based technology and the sequencing of the human genome, scientistsattempt...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p><b>A</b>) Unsupervised hierarchical clustering of raw log2 ratios derived from 72 serous type ova...
Clustering was based on 364 genes from the intrinsic gene list published by Sørlie and colleagues []...
Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this stu...
3D visualization revealed patient samples classified to different subtypes were much more tightly di...
<p>The patients were grouped according to the menstrual cycle phase (proliferative and secretory), n...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Six distinct clusters were identified and their respective genes further analyzed.</p
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>The diseases and functions associated with gene clusters A-D are shown together with the p-value ...
Abstract Background Two-way hierarchical clustering, with results visualized as heatmaps, has served...
Abstract Background Two-way hierarchical clustering, with results visualized as heatmaps, has served...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
<p>(A) Hierarchical clustering of primary tumors reveals three distinct classes (B) Kaplan–Meier met...
SINCE the advent of array-based technology and the sequencing of the human genome, scientistsattempt...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p><b>A</b>) Unsupervised hierarchical clustering of raw log2 ratios derived from 72 serous type ova...
Clustering was based on 364 genes from the intrinsic gene list published by Sørlie and colleagues []...
Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this stu...
3D visualization revealed patient samples classified to different subtypes were much more tightly di...
<p>The patients were grouped according to the menstrual cycle phase (proliferative and secretory), n...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Six distinct clusters were identified and their respective genes further analyzed.</p